Reframing family-centred obesity prevention using the Family Ecological Model
According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outlin...
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Published in | Public health nutrition Vol. 16; no. 10; pp. 1861 - 1869 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Cambridge, UK
Cambridge University Press
01.10.2013
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Subjects | |
Online Access | Get full text |
ISSN | 1368-9800 1475-2727 1475-2727 |
DOI | 10.1017/S1368980012004533 |
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Abstract | According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements.
Using a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents’ cognitions and behaviours specific to children’s diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM.
The study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families.
Participants included eighty-nine low-income parents/caregivers of children enrolled in Head Start.
Parents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children’s exposure to food advertisements.
Based on these findings, the FEM was refined to create an evidence-based,temporally structured logic model to support and guide family-centred research in childhood obesity prevention. |
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AbstractList | According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements. Using a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents' cognitions and behaviours specific to children's diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM. The study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families. Participants included eighty-nine low-income parents/caregivers of children enrolled in Head Start. Parents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children's exposure to food advertisements. Based on these findings, the FEM was refined to create an evidence-based, temporally structured logic model to support and guide family-centred research in childhood obesity prevention. According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements.OBJECTIVEAccording to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements.Using a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents’ cognitions and behaviours specific to children’s diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM.DESIGNUsing a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents’ cognitions and behaviours specific to children’s diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM.The study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families.SETTINGThe study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families.Participants included eighty-nine low-income parents/caregivers of children enrolled in Head Start.SUBJECTSParticipants included eighty-nine low-income parents/caregivers of children enrolled in Head Start.Parents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children’s exposure to food advertisements.RESULTSParents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children’s exposure to food advertisements.Based on these findings, the FEM was refined to create an evidence-based,temporally structured logic model to support and guide family-centred research in childhood obesity prevention.CONCLUSIONSBased on these findings, the FEM was refined to create an evidence-based,temporally structured logic model to support and guide family-centred research in childhood obesity prevention. Abstract Objective According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements. Design Using a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents' cognitions and behaviours specific to children's diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM. Setting The study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families. Subjects Participants included eighty-nine low-income parents/caregivers of children enrolled in Head Start. Results Parents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children's exposure to food advertisements. Conclusions Based on these findings, the FEM was refined to create an evidence-based, temporally structured logic model to support and guide family-centred research in childhood obesity prevention. According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we utilize the FEM to guide a mixed-methods community assessment and summarize the results. Additionally, we discuss the utility of the FEM and outline possible improvements. Using a cross-sectional design, qualitative and quantitative methods were used to examine the ecologies of parents’ cognitions and behaviours specific to children’s diet, physical activity and screen-based behaviours. Results were mapped onto constructs outlined in the FEM. The study took place in five Head Start centres in a small north-eastern city. The community assessment was part of a larger study to develop and evaluate a family-centred obesity prevention programme for low-income families. Participants included eighty-nine low-income parents/caregivers of children enrolled in Head Start. Parents reported a broad range of factors affecting their parenting cognitions and behaviours. Intrafamilial factors included educational and cultural backgrounds, family size and a lack of social support from partners. Organizational factors included staff stability at key organizations, a lack of service integration and differing school routines. Community factors included social connectedness to neighbours/friends, shared norms around parenting and the availability of safe public housing and play spaces. Policy- and media-related factors included requirements of public assistance programmes, back-to-work policies and children’s exposure to food advertisements. Based on these findings, the FEM was refined to create an evidence-based,temporally structured logic model to support and guide family-centred research in childhood obesity prevention. |
Author | Jurkowski, Janine M Lawson, Hal A Davison, Kirsten K |
AuthorAffiliation | 3 Department of Educational Administration & Policy Studies and School of Social Welfare, University of Albany, Albany, NY, USA 1 Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA 2 Department of Health Policy, Management and Behavior, School of Public Health, University of Albany, Rensselaer, NY, USA |
AuthorAffiliation_xml | – name: 1 Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA – name: 2 Department of Health Policy, Management and Behavior, School of Public Health, University of Albany, Rensselaer, NY, USA – name: 3 Department of Educational Administration & Policy Studies and School of Social Welfare, University of Albany, Albany, NY, USA |
Author_xml | – sequence: 1 givenname: Kirsten K surname: Davison fullname: Davison, Kirsten K email: kdavison@hsph.harvard.edu organization: 1Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA – sequence: 2 givenname: Janine M surname: Jurkowski fullname: Jurkowski, Janine M organization: 2Department of Health Policy, Management and Behavior, School of Public Health, University of Albany, Rensselaer, NY, USA – sequence: 3 givenname: Hal A surname: Lawson fullname: Lawson, Hal A organization: 3Department of Educational Administration & Policy Studies and School of Social Welfare, University of Albany, Albany, NY, USA |
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PublicationYear | 2013 |
Publisher | Cambridge University Press |
Publisher_xml | – name: Cambridge University Press |
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Snippet | According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the present study, we... Abstract Objective According to the Family Ecological Model (FEM), parenting behaviours are shaped by the contexts in which families are embedded. In the... |
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SubjectTerms | Behavior Biological and medical sciences Caregivers Child childhood obesity children Children & youth cognition Community Cross-Sectional Studies diet Ecological models Evaluation Studies as Topic Exercise Families & family life Family Family Characteristics Family size Feeding Behavior Female Focus Groups Follow-Up Studies General aspects Health care Humans Intervention Interventions issues and policy Low income groups Male Medical sciences Metabolic diseases Models, Theoretical Obesity Obesity - prevention & control Parenting parents Parents & parenting physical activity Prevention Prevention and actions Public health Public health. Hygiene Public health. Hygiene-occupational medicine Public housing quantitative analysis Social Support System theory |
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Title | Reframing family-centred obesity prevention using the Family Ecological Model |
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